- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05205187
Gut Microbiota and Metabonomics (MBS)
January 11, 2022 updated by: Kai Li, First Hospital of China Medical University
Multi-center and Multi-omics Mechanism Research of Gut Microbiota and Metabonomics in Borrmann Type IV Gastric Cancer
To evaluate the correlation between gut microbiota and metabolites in Borrmann type IV gastric cancer; To find the effects of microflora and metabolites on target organs; To detect the mechanism of key flora and metabolite by in vitro and in vivo experiments; To construct models of gut microbiota and metabonomics by machine learning.
Study Overview
Status
Recruiting
Conditions
Study Type
Observational
Enrollment (Anticipated)
450
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Kai Li, MD
- Phone Number: 8613998245233
- Email: cmu1h_likai@163.com
Study Locations
-
-
Jiangsu
-
Changzhou, Jiangsu, China, 213001
- Recruiting
- The fourth People's Hospital of Changzhou
-
-
Liaoning
-
Chaoyang, Liaoning, China, 122099
- Recruiting
- Chaoyang Central Hospital
-
Contact:
- Shigang Guo
-
Fushun, Liaoning, China, 113012
- Enrolling by invitation
- The General Hospital of Fushun Mining Bureau
-
Jinzhou, Liaoning, China, 121012
- Recruiting
- First Hospital of Jinzhou Medical University
-
Contact:
- Yubin Wang
-
Shenyang, Liaoning, China, 110000
- Active, not recruiting
- The First Affiliated Hospital of China Medical University
-
-
Shandong
-
Ji'nan, Shandong, China, 250033
- Enrolling by invitation
- The Second Hospital of Shandong University
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 70 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Healthy population will be selected from community samples.
Non-Borrmann IV and Borrmann IV patients will be selected from Department of Oncology in hospitals.
Description
Inclusion Criteria:
- Patients who sign informed consent.
- Borrmann classification of gastric cancer is determined by more than 2 pathologists.
- Patients with BMI 24-28.
- Karnofsky (KPS) score >80.
Exclusion Criteria:
- Patients who take any aspirin, antibiotics, prebiotics, or probiotics within 4 weeks and steroids or immunosuppressants within 6 months prior to specimen collection.
- Patients who complicate with other malignant tumors.
- Patients who complicate with diabetes, hypertension, heart disease and infectious diseases.
- Patients who complicate with inflammatory bowel disease or irritable bowel syndrome.
- Patients with metastasis.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Healthy group
Healthy people in the community.
|
Collecting blood and feces from healthy population.
|
|
Non-Borrmann IV group
Patients with Borrmann types I, II and III gastric cancer.
|
Collecting blood, feces and gastric cancer tissues from Non-Borrmann IV patients.
|
|
Borrmann IV group
Patients with Borrmann type IV gastric cancer.
|
Collecting blood, feces and gastric cancer tissues from Borrmann IV patients.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Participants' characteristics
Time Frame: 1 day
|
To obtain participants' characteristics, including age, gender, alcohol consumption, body mass index, smoking, medications.
|
1 day
|
|
Microbial community structure
Time Frame: 1 day
|
To assess participants' microbiome composition in faecal samples, inclding microbial diversity and richness.
|
1 day
|
|
Metabolite composition
Time Frame: 1 day
|
To measure the metabolite profiles in participants' faecal samples and serum samples, involving Bile acids, short chain fatty acids, TMAO and related metabolites, amino acids, fatty acids, organic acids, flavonoids, plant hormones, neurotransmitters.
|
1 day
|
|
Microbes-metabolites correlations
Time Frame: 1 day
|
To assess the correlations of gut microbiota and metabolites by Spearman's correlation analysis.
|
1 day
|
|
Response of target organ
Time Frame: 1 day
|
To find the effects of microflora and metabolites on target organ by transcriptome sequencing.
|
1 day
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Kai Li, MD, First Hospital of China Medical University
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Anticipated)
February 28, 2022
Primary Completion (Anticipated)
January 1, 2024
Study Completion (Anticipated)
December 31, 2025
Study Registration Dates
First Submitted
January 11, 2022
First Submitted That Met QC Criteria
January 11, 2022
First Posted (Actual)
January 25, 2022
Study Record Updates
Last Update Posted (Actual)
January 25, 2022
Last Update Submitted That Met QC Criteria
January 11, 2022
Last Verified
January 1, 2022
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- Metabonomics
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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